Uses of Interface
org.encog.neural.networks.training.CalculateScore

Packages that use CalculateScore

org.encog.neural.networks.training
org.encog.neural.networks.training.anneal
org.encog.neural.networks.training.genetic
org.encog.neural.networks.training.neat

Uses of CalculateScore in org.encog.neural.networks.training

Classes in org.encog.neural.networks.training that implement CalculateScore

class

TrainingSetScore Calculate a score based on a training set.

Uses of CalculateScore in org.encog.neural.networks.training.anneal

Methods in org.encog.neural.networks.training.anneal that return CalculateScore

CalculateScore

NeuralSimulatedAnnealing.getCalculateScore()

Constructors in org.encog.neural.networks.training.anneal with parameters of type CalculateScore

NeuralSimulatedAnnealing(BasicNetwork network, CalculateScore calculateScore, double startTemp, double stopTemp, int cycles)
Construct a simulated annleaing trainer for a feedforward neural network.

Uses of CalculateScore in org.encog.neural.networks.training.genetic

Constructors in org.encog.neural.networks.training.genetic with parameters of type CalculateScore

GeneticScoreAdapter(CalculateScore calculateScore)
Construct the adapter.

NeuralGeneticAlgorithm(BasicNetwork network, Randomizer randomizer, CalculateScore calculateScore, int populationSize, double mutationPercent, double percentToMate)
Construct a neural genetic algorithm.

Uses of CalculateScore in org.encog.neural.networks.training.neat

Constructors in org.encog.neural.networks.training.neat with parameters of type CalculateScore

NEATTraining(CalculateScore score, BasicNetwork network, Population population)
Construct a NEAT training object.

NEATTraining(CalculateScore calculateScore, int inputCount, int outputCount, int populationSize)
Construct a neat trainer with a new population.

NEATTraining(CalculateScore calculateScore, Population population)
Construct neat training with a predefined population.